Data Management & Editing · TOOL GUIDE

Outlier Treatment

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Understand the method. Use it with confidence.

Treat outliers via Winsorization, Trimming, or Capping. Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool while preparing an analysis-ready dataset or correcting a known data issue.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Target Variables (Required): Select one or more numeric variables to treat.
  4. Set Treatment Method (Required): Set treatment method.
  5. Set Lower Percentile (0-0.5) (Optional): Percentile for lower bound (e.g., 0.05 for 5th percentile). Used for Winsorize/Trim.
  6. Set Upper Percentile (0.5-1.0) (Optional): Percentile for upper bound (e.g., 0.95 for 95th percentile). Used for Winsorize/Trim.
  7. Set Save as New Dataset (Optional): If checked, creates a new dataset with the treated values.
  8. Review optional or advanced settings and keep defaults unless your design requires a change.
  9. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Confirm the affected rows and columns before saving. Review the output dataset and warning counts; transformations change data rather than proving a statistical conclusion.